Motion planning of human-like movements in the manipulation of flexible objects

Mikhail Svinin, Igor Goncharenko, Shigeyuki Hosoe

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)


The paper deals with modeling of human-like reaching movements in dynamic environments. A simple but not trivial example of reaching in a dynamic environment is the rest-to-rest manipulation of a multi-mass flexible object (underactuated system) with the elimination of residual vibrations. This a complex, sport-like movement task where the hand velocity profiles can be quite different from the classical bell shape and may feature multiple phases. First, we establish the Beta function as a model of unconstrained reaching movements and analyze it properties. Based on this analysis, we construct a model where the motion of the most distal link of the object is specified by the lowest order polynomial, which is not uncommon in the control literature. Our experimental results, however, do not support this model. To plan the motion of the system under consideration, we develop a minimum hand jerk model that takes into account the dynamics of the flexible object and show that it gives a satisfactory prediction of human movements.

Original languageEnglish
Title of host publicationAdvances in Robot Control
Subtitle of host publicationFrom Everyday Physics to Human-Like Movements
PublisherSpringer Berlin Heidelberg
Number of pages29
ISBN (Print)3540373462, 9783540373469
Publication statusPublished - 2006
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Engineering(all)


Dive into the research topics of 'Motion planning of human-like movements in the manipulation of flexible objects'. Together they form a unique fingerprint.

Cite this